Ant Colony Algorithm and its Applications to Optimization of PID Parameters
In this paper, an improved ACA (IACA) is used for tuning PID parameters. Firstly, the mathematical representation of conventional digital PID controller is deduced. Then genetic algorithms (GAs) and ACA are described. Thirdly, a PID controller based on IACA is designed. Computer simulation is performed for the proposed IACA-based PID controller finally. The results show that the proposed method could search the optimization PID parameters efficiently. The tryout of the designed controller in a paver walk system driven by valve-controlled motor runs well up to present.
Yingxue Yao, Dunwen Zuo and Xipeng Xu
S. L. Song et al., "Ant Colony Algorithm and its Applications to Optimization of PID Parameters", Key Engineering Materials, Vols. 431-432, pp. 568-571, 2010